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Introduction to Management Science Paperback – 22 June 2010
by
Jeffrey D. Camm
(Author),
Thomas Arthur Williams
(Author),
David Anderson
(Author),
Dennis Sweeney
(Author),
R. Martin
(Author)
&
2
more
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Purchase options and add-ons
Learn today's management science concepts and techniques-and how they will benefit you in the classroom and business world beyond-with the definitive leader in management science, INTRODUCTION TO MANAGEMENT SCIENCE: A QUANTITATIVE APPROACH TO DECISION MAKING, 12E, International Edition. The latest edition of this leading text blends a readable style with a wealth of examples that demonstrate how businesses throughout the world use management science techniques to further their success. Proven, realistic problems help strengthen critical problem-solving skills, while numerous self-test exercises with complete solutions allow you to immediately check your personal understanding of the material. Every new edition now includes the highly respected LINGO 10 software that is integrated with text problems to help you develop the skills to use this, Excel, and many other valuable software packages to resolve management science problems. This edition now places greater emphasis on the applications of management science and use of computer software with less focus on algorithms. Much of the algorithm coverage as well as Excel templates and add-in software, and the user-friendly Management Scientist software are available on the text's accompanying Student CD. Trust INTRODUCTION TO MANAGEMENT SCIENCE, 12E, International Edition to introduce the management science skills you need now and into the future with clarity you can understand and practicality you can immediately apply.
- Print length900 pages
- LanguageEnglish
- PublisherSouth-Western
- Publication date22 June 2010
- Dimensions20.3 x 3 x 25.4 cm
- ISBN-10053847565X
- ISBN-13978-0538475655
Product description
Review
1. Introduction. 2. An Introduction to Linear Programming. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution. 4. Linear Programming Applications in Marketing, Finance, and Operations Management. 5. Advanced Linear Programming Applications. 6. Distribution and Network Models. 7. Integer Programming. 8. Nonlinear Optimization Models. 9. Project Scheduling: PERT/CPM. 10. Inventory Models. 11. Waiting Line Models. 12. Simulation. 13. Decision Analysis. 14. Multicriteria Decisions. 15. Forecasting. 16. Markov Processes. On the Student CD: 17. Linear Programming: Simplex Method. 18. Simplex-Based Sensitivity Analysis and Duality. 19. Solution Procedures for Transportation and Assignment Problems. 20. Minimal Spanning Tree Algorithm. 21. Dynamic Programming.
About the Author
Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University. Dr. Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology where he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees. Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Dr. Kipp Martin is Professor of Operations Research and Computing Technology at the Graduate School of Business, University of Chicago. Born in St. Bernard, Ohio, he earned a B.A. in Mathematics, an MBA, and a Ph.D. in Management Science from the University of Cincinnati. While at the University of Chicago, Professor Martin has taught courses in Management Science, Operations Management, Business Mathematics, and Information Systems. Research interests include incorporating Web technologies such as XML, XSLT, XQuery, and Web Services into the mathematical modeling process; the theory of how to construct good mixed integer linear programming models; symbolic optimization; polyhedral combinatorics; methods for large scale optimization; bundle pricing models; computing technology and database theory. Dr. Martin has published in INFORMS Journal of Computing, Management Science, Mathematical Programming, Operations Research, The Journal of Accounting Research, and other professional journals. He is also the author of The Essential Guide to Internet Business Technology (with Gail Honda) and Large Scale Linear and Integer Optimization.
Product details
- Publisher : South-Western; International ed of 13th Revised ed edition (22 June 2010)
- Language : English
- Paperback : 900 pages
- ISBN-10 : 053847565X
- ISBN-13 : 978-0538475655
- Dimensions : 20.3 x 3 x 25.4 cm
- Customer Reviews:
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3.8 out of 5 stars
3.8 out of 5
29 global ratings
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abhishek nair
5.0 out of 5 stars
Timely service as always
Reviewed in Germany on 21 February 2016Verified Purchase
Product was as per specifications and delivered in the time frame specified. Competitive pricing. Will definitely use the seller's service again and recommend to others too.
Jennifer
5.0 out of 5 stars
It is a very good introductory read with good examples covering all topics I ...
Reviewed in the United Kingdom on 9 February 2015Verified Purchase
I use this book for my postgraduate studies of Management Science.
It is a very good introductory read with good examples covering all topics I need.
It is a very good introductory read with good examples covering all topics I need.
Prof. TG
5.0 out of 5 stars
Best writing for manager and for student of management.
Reviewed in the United States on 21 March 2011Verified Purchase
Methodology is a very difficult part of knowledge. How to teach effectively, how to translate knowledge onto common language, how to keep the point in material selection, etc. etc. Such questions are very good resolved in the evaluated book: "An introduction to management science" 13th Ed. I can compare this edition to the 6th one, and can say that both books can add very important impact to a growth of knowledge. As a professor of management theory, I use this book in my everyday teaching practice. I can find very fresh look at well known problems and solutions. A lot of very good practical examples illustrate the operational research theory and teach practicioners how to use quantitative support of decision making. Some easy Excel examples are good presented even for social science oriented students. Lack of suitable CD with the presented cases and examples solution is the most important weakness of the editon. The attached MS Office 2007 Project CD (time limited demo version) is evident faux pas, and should be eliminated from such good edition. Microsoft can help yourself with marketing. But if the authors would show some time depending schedules of business projects, suitable spreadsheet may be added instead. Very good chapter about the popularity of different OR methods, used by managers had presented in the 6th edition, had been eliminated in 13th ed. I think it should be added in the revised form in the next Ed. For me, the presented case studies (OR in practice) are too general and should be methodologically rearranged. But the existing form is absolute sufficient at student level of understanding. In general, there is no such good book related to OR topics on the market (it is almost compatible regarding the understandability to PADI diving course book). Concluding, the book "An introduction to management science" is worth money.
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